Correlación entre tiempo en rango y hemoglobina glicosilada en personas con diabetes mellitus: revisión sistemática / Correlation between time on target and glycated hemoglobin in people with diabetes mellitus: systematic review / Correlação entre tempo no alvo e hemoglobina glicada de pessoas com diabetes mellitus: revisão sistemática

Objetivo: analizar la correlación entre el tiempo en rango y la hemoglobina glicosilada de personas que viven con diabetes mellitus y realizan la monitorización continua de la glucemia o el automonitoreo de la glucemia capilar Método: revisión sistemática de etiología y riesgo basada en las directrices del JBI e informada según los Preferred Reporting Items for Systematic Reviews and Meta-Analyses, abarcando seis bases de datos y la literatura gris. La muestra incluyó 16 estudios y la calidad metodológica fue evaluada utilizando las herramientas del JBI. Protocolo registrado en Open Science Framework, disponible en https://doi.org/10.17605/OSF.IO/NKMZB. Resultados: tiempo en rango (70-180 mg/dl) mostró una correlación negativa con la hemoglobina glicosilada, mientras que el tiempo por encima del rango (>180 mg/dl) mostró una correlación positiva. Los coeficientes de correlación variaron entre -0,310 y -0,869 para el tiempo en rango, y entre 0,66 y 0,934 para el tiempo por encima del rango. Un estudio se realizó en una población que hacía el automonitoreo. Conclusión: hay una correlación estadísticamente significativa entre el tiempo en rango y el tiempo por encima del rango con la hemoglobina glicosilada. Cuanto mayor sea la proporción en el rango glucémico adecuado, más cerca o por debajo del 7% estará la hemoglobina glicosilada. Se necesitan más estudios que evalúen esta métrica con datos del automonitoreo de la glucemia.

Objective: to analyze the correlation between time on target and glycated hemoglobin in people living with diabetes mellitus and carrying out continuous blood glucose monitoring or self-monitoring of capillary blood glucose. Method: systematic review of etiology and risk based on JBI guidelines and reported according to Preferred Reporting Items for Systematic Reviews and Meta- Analyses, covering six databases and grey literature. The sample included 16 studies and methodological quality was assessed using JBI tools. Protocol registered in the Open Science Framework, available at https://doi.org/10.17605/OSF.IO/NKMZB. Results: time on target (70-180 mg/dl) showed a negative correlation with glycated hemoglobin, while time above target (>180 mg/dl) showed a positive correlation. Correlation coefficients ranged between -0.310 and -0.869 for time on target, and between 0.66 and 0.934 for time above target. A study was carried out on a population that performed self-monitoring. Conclusion: there is a statistically significant correlation between time on target and time above target with glycated hemoglobin. The higher the proportion in the adequate glycemic range, the closer to or less than 7% the glycated hemoglobin will be. More studies are needed to evaluate this metric with data from self-monitoring of blood glucose.

Objetivo: analisar a correlação entre o tempo no alvo e a hemoglobina glicada de pessoas que vivem com diabetes mellitus e realizam a monitorização contínua da glicemia ou a automonitorização da glicemia capilar. Método: revisão sistemática de etiologia e de risco pautada nas diretrizes do JBI e reportada conforme Preferred Reporting Items for Systematic Reviews and Meta-Analyses, abrangendo seis bases de dados e a literatura cinzenta. A amostra incluiu 16 estudos e a qualidade metodológica foi avaliada utilizando as ferramentas do JBI. Registrado protocolo no Open Science Framework, disponível em https://doi.org/10.17605/OSF.IO/NKMZB. Resultados: tempo no alvo (70-180 mg/dl) apresentou correlação negativa com a hemoglobina glicada, enquanto o tempo acima do alvo (>180 mg/dl) mostrou correlação positiva. Os coeficientes de correlação variaram entre -0,310 e -0,869 para o tempo no alvo, e entre 0,66 e 0,934 para o tempo acima do alvo. Um estudo foi efetuado com população que realizava a automonitorização. Conclusão: há correlação estatisticamente significativa entre o tempo no alvo e o tempo acima do alvo com a hemoglobina glicada. Quanto maior a proporção na faixa glicêmica adequada, mais próxima ou inferior a 7% estará a hemoglobina glicada. São necessários mais estudos que avaliem essa métrica com dados da automonitorização da glicemia.

Flash glucose monitoring system in patients with type 1 diabetes in healthcare center in Brazil: real world data from a short-term prospective study

ABSTRACT Objectives: To evaluate the alternate use of flash glucose monitoring (FGM) with self-monitoring blood glucose (SMBG), in patients with type 1 diabetes (T1D). Materials and methods: Two weeks of open FGM (P2), both preceded (P1) and followed by 2 weeks (P3) of SMBG with a blinded FGM system. Mean absolute relative difference (MARD) was calculated by (-FGMi − SMBGi-) / SMBGi, where it was a paired data sample. Results: In total, 34 patients were evaluated. Time in range (TIR) did not change between P1 and P2. In 12 patients (35.3%), TIR increased from 40% at P1 to 52% at P2 (p = 0.002) and in 22 (64.7%), TIR decreased or did not change. FGM use resulted in decreased % time spent in hypoglycemia (<70 mg/dL) (6.5% vs. 5.0%; p = 0.005), increased % time spent in hyperglycemia (>180 mg/dL) (44.5% to 51%; p = 0.046) with no significant change in % TIR. The proportion of patients who reached sensor-estimated glycated hemoglobin (eA1c) < 7% decreased from 23.5% at P1 to 12.9% at P2, p = 0.028. For the whole sample, the MARD between the two methods was 15.5% (95% CI 14.5-16.6%). For normal glucose range, hyperglycemic levels and hypoglycemic levels MARD were 16.0% (95% CI 15.0-17.0%), 13.3% (95% CI 11.5-15.2%) and 23.4% [95% CI 20.5-26.3%)], respectively. Conclusion: FGM after usual SMBG decreased the % time spent in hypoglycemia concomitant with an undesired increase in % time spent in hyperglycemia. Lower accuracy of FGM regarding hypoglycemia levels could result in overcorrection of hypoglycemia.

Decreasing complexity of glucose time series derived from continuous glucose monitoring is correlated with deteriorating glucose regulation / 医学前沿

Most information used to evaluate diabetic statuses is collected at a special time-point, such as taking fasting plasma glucose test and providing a limited view of individual's health and disease risk. As a new parameter for continuously evaluating personal clinical statuses, the newly developed technique "continuous glucose monitoring" (CGM) can characterize glucose dynamics. By calculating the complexity of glucose time series index (CGI) with refined composite multi-scale entropy analysis of the CGM data, the study showed for the first time that the complexity of glucose time series in subjects decreased gradually from normal glucose tolerance to impaired glucose regulation and then to type 2 diabetes (P for trend < 0.01). Furthermore, CGI was significantly associated with various parameters such as insulin sensitivity/secretion (all P < 0.01), and multiple linear stepwise regression showed that the disposition index, which reflects β-cell function after adjusting for insulin sensitivity, was the only independent factor correlated with CGI (P < 0.01). Our findings indicate that the CGI derived from the CGM data may serve as a novel marker to evaluate glucose homeostasis.

Research progress on minimally invasive and non-invasive blood glucose detection methods / 生物医学工程学杂志

Blood glucose monitoring has become the weakest point in the overall management of diabetes in China. Long-term monitoring of blood glucose levels in diabetic patients has become an important means of controlling the development of diabetes and its complications, so that technological innovations in blood glucose testing methods have far-reaching implications for accurate blood glucose testing. This article discusses the basic principles of minimally invasive and non-invasive blood glucose testing assays, including urine glucose assays, tear assays, methods of extravasation of tissue fluid, and optical detection methods, etc., focuses on the advantages of minimally invasive and non-invasive blood glucose testing methods and the latest relevant results, and summarizes the current problems of various testing methods and prospects for future development trends.

Continuous Blood Glucose Monitoring:Technological Progress and Application Extension / 中国医疗器械杂志

Continuous glucose monitoring (CGM) technology developed rapidly in recent years, and new products came out all the time. Nowadays, CGM plays an important role in diabetes management and has been recommended by various guideline all over the world. CGM equipment classification, progress on glucose sensor technology, and the new application and expansion of CGM technology in the field of diabetes and non-diabetes were briefly introduced in the study.

Application of continuous glucose monitoring technology to evaluate the advantages of insulin degludec in the treatment of type 1 diabetes mellitus / 中国医师杂志

Objective:Continuous glucose monitoring (CGM) technology is used to compare the advantages of insulin degludec (IDeg) as a basal insulin regimen compared with insulin glargine (IGlar) in the treatment of adult type 1 diabetes mellitus.Methods:30 adult patients with T1DM admitted to Heji Hospital Affiliated to Changzhi Medical College from September 2019 to December 2020 were screened. According to the random number table method, the patients were randomly divided into two groups (insulin degludec group and insulin glargine group) at a ratio of 1∶1, respectively treated with IDeg, IGlar and aspartate insulin for 12 weeks. The main outcome measures were the coefficient of variation of blood glucose (CV), mean amplitude of glycemic excursions (MAGE), time in range (TIR), time above range (TAR) and time below range (TBR). The secondary outcome measures were mean blood glucose (MBG), standard deviation of blood glucose (SD), fasting blood glucose (FPG), 2 h postprandial blood glucose (2 h BG), hemoglobin A1c (HbA 1c), means of daily differences (MOOD), and the frequency of hypoglycemic events. Results:At 12 weeks of treatment, the HbA 1c, FPG, 2 h BG, MBG, SD, CV and MAGE of insulin degludec group were lower than those of insulin glargine group, with statistically significant difference (all P<0.05). The TIR in the insulin degludec group was significantly higher than that in the insulin glargine group [73(63, 75)% vs 43(28, 63)%, P<0.001], and the TAR was lower than that in the glycerine group [25(17, 23)% vs 35(33, 64)%, P=0.003]. From the curve spectrum of blood glucose level of the two groups, the stability of blood glucose in the insulin degludec group was better than that in the insulin glargine group. After 12 weeks of treatment, 8 cases (8/15) in insulin degludec group had HbA 1c<7.0%, and 4 cases (4/15) in insulin glargine group had HbA 1c<7.0%, without statistically significant difference ( P=0.264). There were 7 cases (7/15) in the insulin degludec group and 1 case (1/15) in the insulin glargine group who achieved high quality blood glucose control, with statistically significant difference ( P=0.035). At the 12th week of outpatient follow-up, the incidence of nocturnal hypoglycemic events in insulin degludec group was significantly lower than that in insulin glargine group (4/15 vs 11/15, P=0.027). Conclusions:Compared with insulin glargine, insulin degludec can achieve higher blood glucose compliance rate, lower blood glucose level and reduce blood glucose fluctuations in patients with type 1 diabetes.

Association between time in target range and risk of vertebral fracture in patients with type 2 diabetes / 中华内分泌代谢杂志

Objective:To investigate the association between time in target range and risk of vertebral fracture in patients with type 2 diabetes.Methods:The clinical data of 1 032 patients with type 2 diabetes who were hospitalized in endocrine department of Henan Provincial People′s Hospital from June 2017 to July 2021 were collected. Among which 632 patients were included into final analysis. The diabetes-specific risk score for vertebral fracture was used to assess the risk of vertebral fracture. Multivariate linear regression analysis was used to test the association between time in target range and risk score of vertebral fracture. Risk score≥9 was defined as increased risk of vertebral fracture. Multivariate logistic regression was used to estimate the association between time in target range and risk of vertebral fracture. Results:Among the included patients, mean age was(55.0±12.4) years and the percent of male was 72.5%. The mean course of diabetes was(9.4±8.0) years, and mean score of risk of vertebral fracture was 5.6±4.3. Time in target range was negatively correlated with risk score of vertebral fracture( P for trend <0.001), which was independent of potential confounders and continuous glucose monitoring parameters. The included patients were divided into four groups based on quartiles of time in target range. Multivariate logistic regression indicated that the risk of vertebral fracture in the first quartile of time in target range was 4.6 times higherthanthatinthe4thquartile, and the significance remained adjusted for potential confounders, s, CV, or meanamplitudeofglycemicexcursions(MAGE), respectively. Conclusion:Timein target rangewasnegativelycorrelatedwithriskscoreofvertebralfracturein patient with type 2 diabetes. Low time in range level was an independent risk factor for increased risk of vertebral fracture.

Correlation between time within blood glucose target range and muscle mass reduction in middle-aged and elderly patients with type 2 diabetes / 中国医师杂志

Objective:To study the correlation between the time within the target range of blood glucose and the reduction of muscle mass in middle-aged and elderly patients with type 2 diabetes (T2DM).Methods:A total of 245 middle-aged and elderly T2DM patients admitted to the Second People′s Hospital of Hefei from December 2020 to December 2021 were selected. All enrolled patients wore MeiQi blood glucose monitor to obtain time in range (TIR), time above range (TAR), time below range (TBR), mean amplitude of glycemic excursions (MAGE), coefficient of variation (CV), blood glucose standard deviation (SD), largest amplitude of glycemic excursions (LAGE), which was for assessing blood sugar fluctuation. The incidence of muscle mass reduction and sarcopenia was statistically analyzed, and the differences invarious observation indicators between the muscle mass reduction group and the non muscle mass reduction group were compared. Spearman correlation analysis was used to investigate the correlation between clinical indicators and limb skeletal muscle mass index (ASMI), and logistic regression was used to analyze the influencing factors of muscle mass reduction in middle-aged and elderly T2DM patients.Results:The prevalence of muscle mass loss in 245 T2DM patients was 25.71%(63/245), and the prevalence of sarcopenia was 13.06%(32/245). There were statistically significant differences in age, gender, body mass index (BMI), blood phosphorus, homeostatic model assessment of insulin resistance (HOMA-IR), urine albumin creatine ratio (ACR), 25 hydroxyvitamin D, diabetes nephropathy (DN) patient proportion, ASMI, grip strength, and 5 sit up test times between the muscle mass reduction group and the non muscle mass reduction group (all P<0.05). The TIR of the muscle mass reduction group was lower than that of the non muscle mass reduction group, while the TAR and mean blood glucose (MG) were higher than those of the non muscle mass reduction group, with statistically significant differences (all P<0.05). ASMI was negatively correlated with age, males, and HOMA-IR (all P<0.05), but positively correlated with BMI and 25 hydroxyvitamin D (all P<0.05). ASMI was positively correlated with SD and TIR (mean P<0.05), and negatively correlated with CV, LAGE, TAR, and MG (all P<0.05). The results of univariate regression analysis showed that age, male gender, DN, and TAR were risk factors for muscle mass reduction, while BMI, 25 hydroxyvitamin D, and TIR were protective factors for muscle mass reduction (all P<0.05). After adjusting for other related factors, TIR remained a protective factor for decreased muscle mass (all P<0.05). Conclusions:TIR is an independent protective factor for muscle mass loss in middle-aged and elderly T2DM patients, and the incidence of muscle mass loss can be reduced by increasing TIR levels in clinical practice.

Observaciones en el mundo real sobre la efectividad del sistema flash de monitorización de glucosa en la práctica clínica en Chile / Real-world observations of the effectiveness of the flash glucose monitoring in clinical practice in Chile

OBJETIVO: Evaluar el tiempo en rango de glucosa y su asociación con otras medidas del control glicémico establecidas por el consenso internacional del tiempo en rango en usuarios de vida real del sistema flash de monitorización de glucosa FreeStyle LibreTM en Chile. MÉTODOS: Se analizaron los datos provenientes de la base de datos Freestyle Libre™ entre diciembre de 2014 y enero de 2022. Las lecturas se dividieron en 10 grupos (deciles) del mismo tamaño (cada decil contenía aproximadamente 498 usuarios) en función del tiempo en rango. Para cada decil se calculó la media de determinaciones diarias, el promedio de glucosa, la HbA1c, la desviación estándar de glucosa, el coeficiente de variación de la glucosa, el tiempo en rango, el tiempo de glucosa (porcentaje) por encima de 250 mg/dL (TA250), el tiempo de glucosa (porcentaje) por encima de 180 mg/dL (TA180), el tiempo por debajo (porcentaje) de 70 mg/dL (TB70) y el tiempo por debajo (porcentaje) de 54 mg/dL (TB54). RESULTADOS: Desde diciembre de 2014 hasta enero de 2022 hubo 4984 lectores. El grupo con el mayor tiempo en rango mostró significativamente una menor glucosa promedio que el grupo con el tiempo en rango más bajo (decil 1: media 248,3 mg/dL, decil 10: media 113,2 mg/L, diferencia ­135,1 mg/dL, p<0.05). Asimismo, el mayor tiempo en rango se asoció con una menor desviación estándar (decil 1: media 93,7mg/dL, decil 10: media 26,7mg/L, diferencia: -67,0 mg/ dL, p<0,05), menor coeficiente de variación (decil 1: media 37,8%, decil 10: media 23,3%, diferencia: -14,5%, p<0,05), menor TA250 (decil 1: media 46,5%, decil 10: media 0,2%, diferencia: -46,3%, p<0.05), menor TA180 (decil 1: media 73,9%, decil 10: media 3,8%, diferencia: -70,1%, p<0.05), menor TB70 (decil 5: mediana 6,13%, decil 10: mediana 1,70%, diferencia: -4,43%, p<0.05) y menor TB54 (decil 5: mediana 1,79%, decil 10: mediana 0,12%, diferencia: -1,67%, p<0.05). El mayor tiempo en rango se asoció también significativamente con más determinaciones diarias (decil 1: media 11,4, decil 10: media 16,6, diferencia: 5,2, p<0,05). La frecuencia media de las determinaciones entre todos los lectores fue de 14,7 determinaciones diarias. CONCLUSIONES: En los pacientes con diabetes en Chile, el empleo del sistema flash de monitorización demuestra la asociación entre el mayor tiempo en rango, la reducción de la variabilidad de la glucosa y un menor riesgo de hiperglucemias e hipoglicemias y también con un mayor compromiso.

OBJECTIVE: To evaluate glucose time in range and its association with other metrics of glucose control established by the International Consensus on TIR amongst real-life patients using the Flash Glucose Monitoring system FreeStyle LibreTM in Chile. METHODS: Data from the Freestyle Libre™ database between December 2014 and January 2022 were analyzed. Readers were divided into 10 groups (deciles) of the same size (each decile had approximately 498 users) according to time in range. For each decile of time in range, the mean of daily scans, average glucose, estimated HbA1c, glucose standard deviation, glucose coefficient of variation, time in range, glucose time (percentage) above 250 mg/dL (TA250), and glucose time (percentage) above 180 mg/dL (TA180), and the median of glucose time (percentage) below 70 mg/dL (TB70) and glucose time (percentage) below 54 mg/dL (TB54), were calculated. RESULTS: From December 2014 to January 2022, there were 4984 readers. The group with the highest TIR showed significantly lower average glucose than the group with the lowest TIR (decile 1: mean 248.3 mg/dL, decile 10: mean 113.2 mg/L, difference: ­135.1 mg/dL, p<0.05). In addition, more time in range was associated with a lower glucose standard deviation (decile 1: mean 93.7 mg/dL, decile 10: mean 26.7 mg/L, difference: -67.0 mg/dL, p<0.05), lower glucose coefficient of variation (decile 1: mean 37.8%, decile 10: mean 23.3%, difference: -14.5%, p<0.05), lower TA250 (decile 1: mean 46.5%, decile 10: mean 0.2%, difference: -46.3%, p<0.05),lower TA180 (decile 1: mean 73.9%, decile 10: mean 3.8%, difference: -70.1%, p<0.05), lower TB70 (decile 5: median 6.13%, decile 10: median 1.70%, difference: -4.43%, p<0.05) and lower TB54 (decile 5: median 1.79%, decile 10: median 0.12%, difference: -1.67%, p<0.05). Greater TIR was also associated with significantly more daily scans (decile 1: mean 11.4, decile 10: mean 16.6, difference: 5.2, p<0.05). Mean scan frequency amongst all readers was 14.7 daily scans. CONCLUSIONS: In patients with diabetes from Chile, the use of the flash glucose monitoring system demonstrates the association between greater TIR, reduced glucose variability, and reduced risk of hyperglycemia and hypoglycemia, and also its association with greater engagement.

Estrategias para mitigar hipoglucemias y variabilidad glucémica / Strategies to mitigate hypoglycemia and glycemic variability

La última década se ha destacado por los importantes avances en el desarrollo de nuevas tecnologías para pacientes que viven con diabetes mellitus (DM). Las innovaciones han estado orientadas principalmente a: mejorar la calidad de vida, reducir el impacto que genera la ocurrencia de hipoglucemias y reducir la carga de la enfermedad colaborando en la toma diaria de decisiones1. El monitoreo continuo de glucosa (MCG) es una herramienta que ha experimentado un importante avance al aportar información dinámica del estado metabólico en los pacientes y permitir la toma de decisiones, demostrado por un control metabólico estable, menores excursiones glucémicas, y una reducción significativa en la aparición y gravedad de las hipoglucemias2-5. Las presentes recomendaciones tienen como objetivo brindar herramientas rápidas para la interpretación de datos metabólicos y la consiguiente toma de decisiones terapéuticas. A tal fin se realizó una exhaustiva revisión de las principales guías y recomendaciones vigentes; posteriormente, el Grupo de Trabajo adaptó esa información según una serie de preguntas con criterio clínico práctico. El avance de los MCG es innegable, no solo en el desarrollo tecnológico, sino que se han convertido en una herramienta educativa para las personas con DM, su entorno y el equipo de salud al posibilitar un ajuste dinámico del tratamiento, prevenir complicaciones agudas y mejorar la calidad de vida. En esta ecuación enfatizamos la importancia de la educación diabetológica continua de la persona con DM y su entorno, participando activamente en la toma de decisiones para, de esta manera, cumplir con los objetivos propuestos: mejorar la calidad de vida, reducir la carga de la enfermedad y disminuir las excursiones glucémicas agudas.

The last decade has been highlighted by important advances in the development of new technologies for patients living with diabetes. The innovations have been oriented above all to improve the quality of life, reduce the impact generated by the occurrence of hypoglycemia and reduce the burden of the disease by collaborating in daily decision-making1. Continuous glucose monitoring (CGM) is a tool that has undergone significant progress, providing dynamic information on the metabolic status of patients, allowing decision making, demonstrated by stable metabolic control, lower glycemic excursions and a significant reduction in the occurrence and severity of hypoglycemia2-5. The purpose of these recommendations, developed by members of the Innovation Committee of the Argentine Society of Diabetes, is to provide rapid tools for the interpretation of metabolic data and the subsequent therapeutic decisionmaking. To this end, an exhaustive review of the main current guidelines and recommendations has been carried out, later the working group adapted this information according to a series of questions with practical clinical criteria. The progress of CGMs is undeniable, not only in technological development, but it has become an educational tool for people with diabetes, their environment, and the health team, offering the possibility of a dynamic adjustment of treatment, prevention of acute complications and improving quality of life. In this equation, we emphasize the importance of continuous diabetes education for the person with diabetes and their environment, actively participating in decision-making, and in this way, meeting the proposed objectives: improving quality of life, reducing the burden of disease, and decreasing acute glycemic excursions.

Consensus for the use of flash glucose monitoring in the Colombian adult population with type 1 and 2 diabetes mellitus / Consenso para el uso de monitoreo de glucosa flash en la población adulta colombiana con diabetes mellitus tipo 1 y 2

Abstract Introduction: in Colombia, the Clinical Practice Guidelines for the treatment of patients with type 1 (DM1) and type 2 (DM2) diabetes do not mention the use of flash glucose monitoring, as this system was not available. The objective of this study was to establish a set of recommendations for the use of intermittent flash monitoring in Colombia. Methods: the group of experts consisted of eight Colombian physicians from different cities within Colombia, with expertise in the management of patients with DM1 and DM2; a certified diabetes nurse educator; a patient with DM1; and a methodological expert. Using the Zoom Enterprise video conferencing application (Zoom Video Communications, San Jose, California), the group generated questions through the Metaplan method, then carried out a systematic literature search and evidence review. The recommendations were made according to the degree of evidence and strength of the recommendation, following the GRADE method. Results: clinical recommendations were made for: a) patients with DM1 and hypoglycemia; b) patients with DM1 and poor metabolic control; c) patients with insulin-treated DM2; d) pregestational diabetes; e) quality of life; and f) inpatient use. Conclusions: this consensus's clinical recommendations guide clinical decision making with regard to the use of intermittent flash monitoring in patients with diabetes in various clinical settings. (Acta Med Colomb 2022; 47. DOI:https://doi.org/10.36104/amc.2022.2239).

Resumen Introducción: en Colombia las Guías de Práctica Clínica para el manejo del paciente con diabetes tipo 1 (DM1) y tipo 2 (DM2) no mencionan el uso del monitoreo de glucosa flash dado que dicho sistema no estaba disponible. El objetivo del presente trabajo fue establecer un grupo de recomendaciones sobre el uso del monitoreo intermitente flash en Colombia. Métodos: el grupo de expertos estuvo conformado por ocho médicos colombianos expertos en el manejo de pacientes con DM1 y DM2 de diversas ciudades de Colombia, una enfermera licenciada educadora en diabetes, una paciente con diagnóstico de DM1 y un experto metodológico. A través de Zoom Enterprise versión de la aplicación de videoconferencia Zoom (Zoom Video Communications, San Jose, California) el grupo generó las preguntas con metodología Metaplan. Posteriormente, se realizó una búsqueda sistemática de la literatura y análisis de la evidencia. Las recomendaciones se generaron mediante grupo nominal según el grado de evidencia y la formaleza de la recomendación siguiendo la metodología GRADE. Resultados: se generaron recomendaciones clínicas enfocadas a: a) paciente con diagnóstico de DM1 e hipoglucemia; b) paciente con diagnóstico de DM1 y mal control metabólico, c) paciente con diagnóstico de DM tipo 2 tratado con insulina, d) diabetes pregestacional, e) calidad de vida y f) uso intrahospitalario. Conclusiones: las recomendaciones clínicas del presente consenso orientan la toma de decisiones clínicas con respecto al uso de monitoreo intermitente flash en el paciente con diagnóstico de diabetes en diferentes escenarios clínicos. (Acta Med Colomb 2022; 47. DOI:https://doi.org/10.36104/amc.2022.2239).

Estrategias para mitigar hipoglucemias y variabilidad glucémica / Strategies to mitigate hypoglycemia and glycemic variability

La última década se ha destacado por los importantes avances en el desarrollo de nuevas tecnologías para pacientes que viven con diabetes mellitus (DM). Las innovaciones han estado orientadas principalmente a: mejorar la calidad de vida, reducir el impacto que genera la ocurrencia de hipoglucemias y reducir la carga de la enfermedad colaborando en la toma diaria de decisiones1. El monitoreo continuo de glucosa (MCG) es una herramienta que ha experimentado un importante avance al aportar información dinámica del estado metabólico en los pacientes y permitir la toma de decisiones, demostrado por un control metabólico estable, menores excursiones glucémicas, y una reducción significativa en la aparición y gravedad de las hipoglucemias2-5. Las presentes recomendaciones tienen como objetivo brindar herramientas rápidas para la interpretación de datos metabólicos y la consiguiente toma de decisiones terapéuticas. A tal fin se realizó una exhaustiva revisión de las principales guías y recomendaciones vigentes; posteriormente, el Grupo de Trabajo adaptó esa información según una serie de preguntas con criterio clínico práctico. El avance de los MCG es innegable, no solo en el desarrollo tecnológico, sino que se han convertido en una herramienta educativa para las personas con DM, su entorno y el equipo de salud al posibilitar un ajuste dinámico del tratamiento, prevenir complicaciones agudas y mejorar la calidad de vida. En esta ecuación enfatizamos la importancia de la educación diabetológica continua de la persona con DM y su entorno, participando activamente en la toma de decisiones para, de esta manera, cumplir con los objetivos propuestos: mejorar la calidad de vida, reducir la carga de la enfermedad y disminuir las excursiones glucémicas agudas.

The last decade has been highlighted by important advances in the development of new technologies for patients living with diabetes. The innovations have been oriented above all to improve the quality of life, reduce the impact generated by the occurrence of hypoglycemia and reduce the burden of the disease by collaborating in daily decision-making1. Continuous glucose monitoring (CGM) is a tool that has undergone significant progress, providing dynamic information on the metabolic status of patients, allowing decision making, demonstrated by stable metabolic control, lower glycemic excursions and a significant reduction in the occurrence and severity of hypoglycemia2-5. The purpose of these recommendations, developed by members of the Innovation Committee of the Argentine Society of Diabetes, is to provide rapid tools for the interpretation of metabolic data and the subsequent therapeutic decisionmaking. To this end, an exhaustive review of the main current guidelines and recommendations has been carried out, later the working group adapted this information according to a series of questions with practical clinical criteria. The progress of CGMs is undeniable, not only in technological development, but it has become an educational tool for people with diabetes, their environment, and the health team, offering the possibility of a dynamic adjustment of treatment, prevention of acute complications and improving quality of life. In this equation, we emphasize the importance of continuous diabetes education for the person with diabetes and their environment, actively participating in decision-making, and in this way, meeting the proposed objectives: improving quality of life, reducing the burden of disease, and decreasing acute glycemic excursions.

Diagnostic accuracy of Serum 1,5-anhydroglucitol as a surrogate measure of Glycemic variability among adult Filipinos with Type 2 Diabetes Mellitus: A retrospective cross-sectional study

Background@#Among the various glycemic indices in current use, glycemic variability has the greatest contribution in the development of microvascular and macrovascular complications in Type 2 Diabetes mellitus (T2DM). Most metrics that are currently used to measure glycemic variability are derived from continuous glucose monitoring (CGM) data. However, CGM is burdensome to the patient due to its relatively high cost as well as the need for multiple visits with the health care provider. With the use of serum 1,5-anhydroglucitol (1,5-AG) as a biomarker of glucose fluctuations, physicians and patients alike could have an easier surrogate measure of glycemic variability thus aiding in achieving target glucose control. This study aims to determine the diagnostic accuracy of 1,5-AG as compared to the glycemic variability metrics derived from CGM as a surrogate measure of glycemic variability among adult Filipinos with T2DM.@*Methods@#Retrospective analysis of data of adult patients aged 20 years old and above diagnosed with T2DM referred for CGM at the Diabetes, Endocrine, Metabolic, and Nutrition Center of Cardinal Santos Medical Center from January 2017 to October 2021 who underwent serum 1,5-AG level determination within 2 weeks of CGM were collected. Diagnostic accuracy was obtained by computing the sensitivity, specificity, positive (PPV) and negative predictive values (NPV), and Youden index. Pearson correlation coefficient was used to determine the correlation of 1,5-AG and the different metrics. Analysis of variance (ANOVA) was used to check for statistical significance with 99% confidence interval and a p < 0.05 considered as statistically significant.@*Results@#This study involving 37 subjects showed a good diagnostic accuracy of serum 1,5-AG levels with the different measures of glycemic variability derived from CGM namely mean amplitude of glycemic excursion (MAGE), continuous overlapping net glycemic action at 1-hour intervals (CONGA-1), and mean of daily differences (MODD) with significant correlation among patients with HbA1c ≤ 7%. Subjects were on CGM for approximately 6 ± 1 day with statistically significant difference between the good and poor glucose control group (p<0.05). Determination of diagnostic accuracy between 1,5- AG and MAGE showed good accuracy (Sensitivity = 95.3%, Specificity = 100%, PPV = 100%, NPV = 75.43%, Diagnostic accuracy 96%, and a Youden Index of 92.3) with a statistically significant correlation among subjects with HbA1c level ≤ 7% (p=0.021). There is likewise good diagnostic accuracy between CONGA-1 and 1,5-AG level (Sensitivity = 99%, Specificity = 75.29%, PPV = 89.1%, NPV = 97%, Accuracy = 89.50% and Youden index of 58.41) with a statistically significant correlation among subjects with HbA1c ≤ 7% (p=0.038). Comparison with interday glycemic variability showed fair diagnostic accuracy between MODD and 1,5-AG (Sensitivity = 79.17%, Specificity = 78%, PPV = 97%, NPV = 32%, Accuracy = 76.89%, and Youden index of 49.07) and a statistically significant correlation among subjects with HbA1c ≤ 7% (p=0.009).@*Conclusion@#There is good diagnostic accuracy of serum 1,5-AG levels with the different measures of glycemic variability derived from CGM namely MAGE, CONGA-1, and MODD with significant correlation among patients with HbA1c ≤ 7%. Among diabetics with HbA1c ≤7%, 1,5-AG could be used as a surrogate measure of glycemic variability and excursions.

Study on the correlation between the time within the glucose target range, the level of glycosylated hemoglobin and the risk of diabetic retinopathy / 中华眼底病杂志

Objective:To observe and analyze the correlation between time within target glucose range (TIR) and hemoglobin A1c (HbA1c) and the risk of diabetic retinopathy (DR).Methods:A retrospective clinical study. From March 2020 to August 2021, 91 patients with type 2 diabetes mellitus (T2DM) who were hospitalized in Department of Endocrinology and Metabolic Diseases, Affiliated Hospital of Weifang Medical University, were included in the study. All patients underwent Oburg's no-dilatation ultra-wide-angle laser scan ophthalmoscopy, HbA1c and continuous glucose monitoring (CGM) examinations. According to the examination results and combined with the clinical diagnostic criteria of DR, the patients were divided into non-DR (NDR) group and DR group, with 50 and 41 cases respectively. The retrospective CGM system was used to monitor the subcutaneous interstitial fluid glucose for 7 to 14 consecutive days, and the TIR was calculated. Binary logistic regression was used to analyze the correlation between TIR, HbAlc and DR in patients with T2DM0. At the same time, a new indicator was generated, the predicted probability value (PRE_1), which was generated to represent the combined indicator of TIR and HbA1c in predicting the occurrence of DR. The receiver operating characteristic curve (ROC curve) was used to analyze the value of TIR, HbAlc and PRE_1 in predicting the occurrence of DR.Results:The TIR of patients in the NDR group and DR group were (81.58±15.51)% and (67.27±22.09)%, respectively, and HbA1c were (8.03±2.16)% and (9.01±2.01)%, respectively. The differences in TIR and HbA1c between the two groups of patients were statistically significant ( t=3.501,-2.208; P=0.001, 0.030). The results of binary logistic regression analysis showed that TIR, HbA1c and DR were significantly correlated (odds ratio=0.960, 1.254; P=0.002, 0.036). ROC curve analysis results showed that the area under the ROC curve (AUC) of TIR, HbA1c and PRE_1 predicting the risk of DR were 0.704, 0.668, and 0.707, respectively [95% confidence interval ( CI) 0.597-0.812, P=0.001; 95% CI 0.558-0.778, P=0.006; 95% CI 0.602-0.798, P=0.001]. There was no statistically significant difference between TIR, HbA1c and PRE_1 predicting the AUC of DR risk ( P>0.05). The linear equation between HbAlc and TIR was HbAlc (%) = 11.37-0.04×TIR (%). Conclusions:TIR and HbA1c are both related to DR and can predict the risk of DR. The combined use of the two does not improve the predictive value of DR. There is a linear correlation between TIR and HbAlc.

Recomendaciones para el monitoreo continuo de la glucosa en pacientes embarazadas con diabetes mellitus tipos 1, 2 y gestacional / Recommendations for continuous glucose monitoring in pregnant patients with type 1, 2 and gestational diabetes mellitus

Resumen OBJETIVO: Emitir recomendaciones para la vigilancia y seguimiento de pacientes embarazadas con diabetes mellitus tipos 1, 2 y gestacional con base en la experiencia de un grupo de especialistas y en lo reportado en la bibliografía, desde la perspectiva del sistema de salud mexicano. MATERIALES Y MÉTODOS: Se utilizó la metodología del panel Delphi modificado, mediante la unanimidad de criterios de un grupo de especialistas en Ginecoobstetricia, Biología de la Reproducción y Medicina Materno Fetal mexicanos, tomando en cuenta un nivel de unanimidad del 80% de los participantes. RESULTADOS: Con base en un ejercicio de consenso se recomienda el monitoreo continuo de la glucosa en todas las pacientes embarazadas con diabetes mellitus tipos 1 y 2 a partir del primer trimestre de la gestación. En pacientes con diabetes gestacional considerar, a partir del segundo o tercer trimestre, el monitoreo continuo de la glucosa en usuarias de insulina o en descontrol glucémico, dependiendo del momento en que se diagnostique la diabetes gestacional, del descontrol glucémico y de la necesidad de insulina. La hemoglobina glucosilada y el tiempo en las concentraciones límite también son métricas de control glucémico. CONCLUSIONES: El monitoreo continuo de la glucosa tiene ventajas en: menos complicaciones perinatales, detección oportuna y reducción de eventos de hiper o hipoglucemia, menor descontrol, ajuste de dosis respecto del tratamiento con insulina y mejora en los hábitos para controlar las concentraciones de glucosa.

Abstract OBJECTIVE: To issue recommendations for the surveillance and follow-up of pregnant patients with types 1, 2 and gestational diabetes mellitus based on the experience of a group of experts and on what is reported in the literature, from the perspective of the Mexican health system. MATERIALS AND METHODS: A modified Delphi Panel methodology was performed, through consensus among gynecology, reproductive biologist, and fetal-maternal specialists, and an 80% consensus of all participants. RESULTS: Based on the consensus exercise, we recommend continuous glucose monitoring in all pregnant patients with type I and II diabetes starting on the first trimester; meanwhile in patients with gestational diabetes, continuous monitoring should be considered in patients treated with insulin or uncontrolled glycemia, starting in the second or third trimester, depending on the moment of diagnosis, glycemic levels and insulin requirements, taking into account HbA1c levels and time in range as well as glycemic control metrics. CONCLUSIONS: Continuous glucose monitoring has advantages including the reduction of perinatal complications, timely detection, reduction in the number of hyper/hypoglycemia events, fewer uncontrolled patients, and the capacity for insulin dosage adjustments and improvement of habits for glucose control.

Dynamic circadian fluctuations of glycemia in patients with type 2 diabetes mellitus

BACKGROUND: Diabetes mellitus (DM) has glucose variability that is of such relevance that the appearance of vascular complications in patients with DM has been attributed to hyperglycemic and dysglycemic events. It is known that T1D patients mainly have glycemic variability with a specific oscillatory pattern with specific circadian characteristics for each patient. However, it has not yet been determined whether an oscillation pattern represents the variability of glycemic in T2D. This is why our objective is to determine the characteristics of glycemic oscillations in T2D and generate a robust predictive model. RESULTS: Showed that glycosylated hemoglobin, glycemia, and body mass index were all higher in patients with T2D than in controls (all p < 0.05). In addition, time in hyperglycemia and euglycemia was markedly higher and lower in the T2D group (p < 0.05), without significant differences for time in hypoglycemia. Standard deviation, coefficient of variation, and total power of glycemia were significantly higher in the T2D group than Control group (all p < 0.05). The oscillatory patterns were significantly different between groups (p = 0.032): the control group was mainly distributed at 2-3 and 6 days, whereas the T2D group showed a more homogeneous distribution across 2-3-to-6 days. CONCLUSIONS: The predictive model of glycemia showed that it is possible to accurately predict hyper- and hypo-glycemia events. Thus, T2D patients exhibit specific oscillatory patterns of glycemic control, which are possible to predict. These findings may help to improve the treatment of DM by considering the individual oscillatory patterns of patients.

Lanreotide and diazoxide have comparable effects on glucose levels in an elderly Japanese insulinoma patient: a case report / Journal of Rural Medicine

An insulinoma is a pancreatic neuroendocrine tumor that causes hypoglycemia. In the elderly, as surgery is not always possible, drugs are an important alternative. However, the effects of lanreotide on insulinomas have not yet been elucidated. We report the case of an 85-year-old Japanese woman who was admitted for loss of consciousness and hypoglycemia, which was resolved after intravenous glucose infusion. Insulin secretion was not inhibited during hypoglycemia. Enhanced computed tomography and OctreoScan scintigraphy revealed a pancreatic tumor (diameter, 13 mm) with radiotracer accumulation. Thus, clinical insulinoma was confirmed. However, the patient refused further examination and surgery. Diazoxide (150 mg/day) therapy resolved hypoglycemia but caused fluid retention. Consequently, we switched to lanreotide (120 mg/6 weeks). Continuous glucose monitoring revealed that both drugs had comparable effects on interstitial glucose normalization. Furthermore, 447 days after the initiation of lanreotide treatment, the patient had no hypoglycemic symptoms. Therefore, lanreotide may be a useful alternative treatment option for inoperable insulinomas in elderly individuals.

Research on related factors for hypoglycemic episodes in patients with type 2 diabetes mellitus based on continuous glucose monitoring system / 复旦学报（医学版）

Objective To identify related factors for hypoglycemic episodes in patients with type 2 diabetes mellitus(T2DM)through continuous glucose monitoring(CGM). Methods The included 147 patients with T2DM were those who had undergone CGM for 5 days in our ward of Department of Endocrinology and Metabolism,Huashan Hospital from Dec 2018 to Oct 2019. The general information, laboratory parameters and CGM parameters of the patients were collected. According to whether there wasan episode of hypoglycemia during the monitoring period,the patients were divided into non-hypoglycemia group and hypoglycemic group. A single hypoglycemia episode was defined as a sensor monitoring blood glucose of less than 3.9 mmol/L and lasting for more than 15 minutes.CGM parameters included the mean blood glucose(MBG),standard deviation(SD),coefficient of variation(CV),the differences between maximum and minimum blood glucose (BG) levels (ΔBG),mean amplitude of glycemic excursions (MAGE)and the percentage of time in range(％TIR)of BG at <3.9 mmol/L,3.9-7.8 mmol/L,>7.8 mmol/L,3.9-10.0 mmol/L,and >10.0 mmol/L. Results Logistic regression analysis showed that lower estimated glomerular filtration rate(eGFR)levels,increased use of insulin and its analogs and lower MBG levels were associated with hypoglycemic episodes. Spearman correlation analysis showed that the MBG level and the ％TIR of BG>7.8 mmol/L and BG>10.0 mmol/L were negatively associated while glycemic variability(GV)levels(SD,CV,ΔBG,MAGE)and ％ TIR of BG at 3.9-7.8 mmol/L were positively associated with hypoglycemic episodes. Pearson correlation analysis showed that the duration of hypoglycemic episodes was positively correlated with the use of sulfonylureas and CV levels. Conclusion Lower eGFR levels,increased treatment with insulin and its analogs and lower MBG levels were related factors for hypoglycemic episodes in patients with T2DM.

Use of Continuous Glucose Monitoring (CGM) Technology in the Management of Type 2 Diabetes Mellitus in the Primary Care Setting: A Case Report

@#This case report of a 30-year-old type 2 diabetic patient illustrates the advantages of using real-time continuous glucose monitoring (rt-CGM) in a primary care setting. The patient was successfully weaned off subcutaneous insulin injections over a period of two months and achieved even better time-in-range outcomes. The patient is empowered with more insight into his metabolic condition and is currently trying new techniques such as intermittent fasting to further improve his diabetes.

Low-carbohydrate diets lead to greater weight loss and better glucose homeostasis than exercise: a randomized clinical trial / 医学前沿

Lifestyle interventions, including dietary adjustments and exercise, are important for obesity management. This study enrolled adults with overweight or obesity to explore whether either low-carbohydrate diet (LCD) or exercise is more effective in metabolism improvement. Forty-five eligible subjects were randomly divided into an LCD group (n = 22) and an exercise group (EX, n = 23). The subjects either adopted LCD (carbohydrate intake < 50 g/day) or performed moderate-to-vigorous exercise (⩾ 30 min/day) for 3 weeks. After the interventions, LCD led to a larger weight loss than EX ( - 3.56 ± 0.37 kg vs. - 1.24 ± 0.39 kg, P < 0.001), as well as a larger reduction in fat mass ( - 2.10 ± 0.18 kg vs. - 1.25 ± 0.24 kg, P = 0.007) and waist circumference ( - 5.25 ± 0.52 cm vs. - 3.45 ± 0.38 cm, P = 0.008). Both interventions reduced visceral and subcutaneous fat and improved liver steatosis and insulin resistance. Triglycerides decreased in both two groups, whereas low-density lipoprotein cholesterol increased in the LCD group but decreased in the EX group. Various glycemic parameters, including serum glycated albumin, mean sensor glucose, coefficient of variability (CV), and largest amplitude of glycemic excursions, substantially declined in the LCD group. Only CV slightly decreased after exercise. This pilot study suggested that the effects of LCD and exercise are similar in alleviating liver steatosis and insulin resistance. Compared with exercise, LCD might be more efficient for weight loss and glucose homeostasis in people with obesity.